Triple
T10973676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Myers at Hillcrest Academy |
E259312
|
entity |
| Predicate | schoolRoleInStory |
P42552
|
FINISHED |
| Object | apparent safe haven that becomes a trap |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: apparent safe haven that becomes a trap | Statement: [Michael Myers at Hillcrest Academy, schoolRoleInStory, apparent safe haven that becomes a trap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolRoleInStory Context triple: [Michael Myers at Hillcrest Academy, schoolRoleInStory, apparent safe haven that becomes a trap]
-
A.
roleInStories
chosen
Indicates the specific function, position, or character part an entity plays within one or more stories.
-
B.
childInStory
Indicates that one entity is a child character who appears within the narrative context of the other entity (a story).
-
C.
schoolRoll
Indicates the official list or record of students enrolled in a particular school or class.
-
D.
hasFictionalSchool
Indicates that an entity is associated with or contains a school that exists only within a fictional or imaginary context.
-
E.
schoolBelongsTo
Indicates that a particular school is owned by, affiliated with, or under the authority or jurisdiction of a specific organization, institution, or administrative entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719c16648190ab5a87abb1c61990 |
completed | April 9, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:24 p.m.